101 to 125 of 126 Pandas Jobs

Systems, or related field 3+ years of experience working with Power BI Strong experience with: DAX Power Query Data modeling concepts Proficiency in Python (Pandas, NumPy, Matplotlib/Seaborn, etc.) Experience with SQL and relational databases Understanding of ETL processes and data warehousing concepts Experience integrating Python scripts within Power ...

Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning ...

innovative solutions confidently to key stakeholders.We're Looking For Someone Who Has:Proficiency in front-end technologies (e.g., JavaScript, React).Strong skills in Python (Pandas, APIs, etc.).Experience with version control systems, preferably Git.Understanding of cloud services and deployment (e.g., Azure).Familiarity with Agile development practises.An entrepreneurial mindset!The package ...

heavily aligned to the ESRI ecosystem, including: • ArcGIS Pro • ArcGIS Online • ArcGIS Field Maps • Migration away from legacy ArcMap Key technologies include: • Python • ArcPy • Pandas • ETL processes • SQL/SQLite Desirable experience: • C# with ArcGIS Pro SDK • Node.js or JavaScript frameworks What We’re Looking For • Strong experience working with ...

confidently to key stakeholders. We're Looking For Someone Who Has: Proficiency in front-end technologies (e.g., JavaScript, React). Strong skills in Python (Pandas, APIs, etc.). Experience with version control systems, preferably Git. Understanding of cloud services and deployment (e.g., Azure). Familiarity with Agile development practises. ...

experience in Machine Learning Strong experience in Computer Vision (e.g. object detection, image classification, segmentation) Experience building, training and optimising ML models Python (NumPy, Pandas, scikit-learn) and frameworks such as TensorFlow or PyTorch Experience deploying models into production environments (cloud platforms, Docker, CI/CD pipelines) Clearance requirements: Active ...

meaningful features, develop detection logic, and communicate findings effectively to non-technical stakeholders. Essential Skills & Experience Strong Python for data processing and analytics (e.g., pandas, numpy; scikit-learn or equivalent) Structured data expertise: joins, aggregations, data cleaning, handling missing data/outliers, basic data modelling concepts Feature engineering: ability ...

Data Engineering, SRE, SWE or Data Ops roles in high performance, time sensitive environments. Strong Python proficiency, including exposure to libraries such as Pandas, Arrow, and Spark. Strong grasp of data modelling, normalization and API development for large scale analytical or trading systems. Experience with lakehouse architectures (Databricks ideally ...

relational databases Git or similar version control Desirable but not essential: Cloud platforms Docker or containerised environments Data processing libraries such as NumPy or Pandas You should be comfortable working independently, communicating clearly, and taking responsibility for the systems you work on. Salary and benefits Salary ...

Series Analysis Ability to handle Vector Calculus or Linear Algebra A "First Principles" approach to solving problems Python (specifically libraries like NumPy, SciPy, and Pandas) SQL or similar for managing large-scale time-series datasets Familiarity with SCADA systems is a bonus Understanding of the UK/EU Energy Market ...

algorithms Some exposure to mathematical optimisation through university modules, projects, or internships Experience working with numerical or data libraries such as NumPy and pandas Basic understanding of optimisation concepts including constraints, objectives, and feasibility Nice to have Experience with optimisation frameworks such as Pyomo, OR Tools, Gurobi, or CPLEX Familiarity ...

FastAPI. Work with Python web frameworks such as Flask, Django, FastAPI, and Jinja2. Data, Analytics & Databases Perform data manipulation and analysis using tools like Pandas and NumPy. Design, query, and maintain both relational databases (e.g., PostgreSQL) and NoSQL/document stores (e.g., MongoDB). Build data pipelines and support analytics ...

compliance, clean code, unit testing, and version control (Git, Unix, pytest). Experience retrieving data from structured, unstructured and web sources (Selenium/PlayWright, Pandas, XML etc) Must have experience building data engineering pipelines in Azure Experience in Azure including Azure Fabric, Data Factory and Azure integrated services such ...

parsing, rules engines, and data quality checks, with an emphasis on writing maintainable, well-structured code Experience using Python libraries for data wrangling (e.g. Pandas, Polars), modelling (e.g. scikit-learn), and visualisation (e.g. matplotlib) Experience with modern data tooling (e.g. Spark, Azure Data Factory) or the ability to implement equivalent ...

publish the library to PyPI Required Skills & Experience Strong Python development experience Experience working with REST APIs Familiarity with data manipulation libraries (e.g. pandas, numpy) Experience writing clean, well-documented, testable code Understanding of Python packaging and versioning Desirable Experience publishing packages to PyPI Familiarity with data science or analytics ...

Strong SQL skills, with experience writing and optimising complex queries against financial data Solid working knowledge of Python for data analysis and manipulation (e.g. Pandas) Experience using Power BI to visualise financial data and communicate insights clearly Confident communication skills, with the ability to explain financial insights to non-technical ...

performance tuning Python scripting for automation, parsing, rules engines, anddata-quality checks; ability to write maintainable code Experience with Python packages such as Pandas/Polars, scikit-learn, matplotlib Experience with modern data tooling (e.g., Spark, cloud data-integration tooling) or the ability to implement equivalent functionality in code Proven ...

technical stakeholders A T-SQL expert , with strong experience writing, optimising, and debugging complex queries and procedures Strong working knowledge of Python (e.g. Pandas) for scripting and data manipulation, with an interest in building production-grade pipelines Deep understanding of Power BI data modelling , performance optimisation, and the impact ...

drivers, administration, and Cypher. Ontology & Semantics: Strong experience with data modeling, ontologies, and semantic technologies (RDF, OWL, SPARQL). Programming: High proficiency in Python (pandas, networkx, py2neo, neo4j-driver). Graph ML: Experience with Neo4j GDS or frameworks such as PyTorch Geometric or DGL. Production Engineering: Hands-on experience with ...

Essential Skills and Experience Proven experience in the UK consumer credit industry in a hands-on analytical role. Strong SQL and Python skills (including Pandas). Deep understanding of credit industry data sources, including data shared with and returned by credit bureaus. Knowledge of UK regulatory frameworks, including FCA guidelines ...

machine learning methods; Eye for quality and attention to detail; Fluency in English (written and verbal communication) is required; Proficiency in Python (e.g. pandas, scikit-learn); Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish...) is valued. MINDSET Interested in weather and natural perils modelling (wildfires, hail ...

both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics or personal projects related to football data. Knowledge of advanced ...

context) Must-have Strong analytical & problem-solving skills: Able to decompose messy, real-world problems and craft tailored solutions. Proficient in Python & data science: pandas/Polars, NumPy, scikit-learn, Jupyter, Plotly (or similar) Confident with data cleaning, analysis, transformation, and visualisation. Excellent communication: Advanced written and spoken English; concise … Actions), SQL/Postgres. TypeScript fluency: Able to read TS and collaborate on data contracts with the Command team. Our environment Python, Polars/pandas, NumPy, scikit-learn, Plotly, SQL/Postgres, NVIDIA cuOpt, HERE APIs, AWS (S3, ECS/Lambda, SNS/SQS), Docker, GitHub Actions, TypeScript/Node ...

keeping performance and scalability in mind. Apply software engineering best practices—SOLID principles, design patterns, unit & integration testing. Work with modern tech: NumPy, SciPy, Pandas, SQL, Docker, Kubernetes, cloud platforms, CI/CD. Collaborate with an international team across the UK, Netherlands, and US. Take ownership of key product modules … influence software architecture. 🏆 What we’re looking for: 5+ years Python experience, especially with scientific libraries (NumPy, SciPy, Pandas). Relevant degree (Maths, Computer Science, or related quantitative field). Strong maths/statistics/analytics background, with experience translating theory into production-ready Python code. Experience building analytics/ ...

delivering interactive dashboards used for commercial insight. The Role You will: Develop robust, production-grade Python applications Manipulate and analyse large datasets using pandas and numpy Build interactive dashboards using Plotly Dash Design modular, reusable and well-tested code Integrate with REST APIs and backend services Collaborate with commercial … enjoys building clean systems rather than quick scripts. Required Experience Hands-on Python development experience Strong object-oriented programming skills Deep experience with pandas and numpy for data manipulation Experience with virtual environments, dependency management and packaging Strong understanding of software engineering best practices including Git, unit testing (pytest), documentation ...